Irina Böhme

830 total citations
9 papers, 519 citations indexed

About

Irina Böhme is a scholar working on Immunology, Transplantation and Molecular Biology. According to data from OpenAlex, Irina Böhme has authored 9 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Transplantation and 3 papers in Molecular Biology. Recurrent topics in Irina Böhme's work include T-cell and B-cell Immunology (7 papers), Renal Transplantation Outcomes and Treatments (5 papers) and vaccines and immunoinformatics approaches (3 papers). Irina Böhme is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Renal Transplantation Outcomes and Treatments (5 papers) and vaccines and immunoinformatics approaches (3 papers). Irina Böhme collaborates with scholars based in Germany, Poland and United States. Irina Böhme's co-authors include Alexander H. Schmidt, Kathrin Lang, Vinzenz Lange, Jürgen Sauter, Julia Pingel, Jan A. Hofmann, Gerhard Schöfl, Gerhard Ehninger, Ute V. Solloch and Daniel Baier and has published in prestigious journals such as PLoS ONE, BMC Genomics and Human Immunology.

In The Last Decade

Irina Böhme

9 papers receiving 453 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Irina Böhme Germany	7	285	149	107	91	59	9	519
Jan A. Hofmann Germany	15	443 1.6×	244 1.6×	120 1.1×	144 1.6×	61 1.0×	27	714
Julia Pingel Germany	14	437 1.5×	291 2.0×	117 1.1×	153 1.7×	67 1.1×	27	715
Matthew Waller United Kingdom	5	599 2.1×	91 0.6×	182 1.7×	58 0.6×	66 1.1×	7	760
John A. Gerlach United States	14	184 0.6×	59 0.4×	121 1.1×	54 0.6×	121 2.1×	34	565
Bianca Schöne Germany	7	194 0.7×	103 0.7×	74 0.7×	60 0.7×	40 0.7×	12	360
Danielle Paixão-Cavalcante United Kingdom	15	467 1.6×	172 1.2×	170 1.6×	27 0.3×	245 4.2×	18	766
Zhuoer Lin United States	8	411 1.4×	178 1.2×	71 0.7×	13 0.1×	19 0.3×	11	532
J. L. Wagner United States	10	250 0.9×	110 0.7×	79 0.7×	25 0.3×	154 2.6×	11	455
Riet Noort Netherlands	8	360 1.3×	16 0.1×	57 0.5×	32 0.4×	42 0.7×	10	524
Helene Polin Austria	12	147 0.5×	339 2.3×	40 0.4×	35 0.4×	103 1.7×	32	589

Countries citing papers authored by Irina Böhme

Since Specialization

Citations

This map shows the geographic impact of Irina Böhme's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Irina Böhme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Böhme more than expected).

Fields of papers citing papers by Irina Böhme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina Böhme. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Irina Böhme. The network helps show where Irina Böhme may publish in the future.

Co-authorship network of co-authors of Irina Böhme

This figure shows the co-authorship network connecting the top 25 collaborators of Irina Böhme. A scholar is included among the top collaborators of Irina Böhme based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irina Böhme. Irina Böhme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Solloch, Ute V., Kathrin Lang, Vinzenz Lange, et al.. (2017). Frequencies of gene variant CCR5-Δ32 in 87 countries based on next-generation sequencing of 1.3 million individuals sampled from 3 national DKMS donor centers. Human Immunology. 78(11-12). 710–717. 71 indexed citations

2.

Schöfl, Gerhard, Kathrin Lang, Irina Böhme, et al.. (2017). 2.7 million samples genotyped for HLA by next generation sequencing: lessons learned. BMC Genomics. 18(1). 161–161. 83 indexed citations

3.

Surendranath, Vineeth, Kathrin Lang, Gerhard Schöfl, et al.. (2017). Dual redundant sequencing strategy: Full‐length gene characterisation of 1056 novel and confirmatory HLA alleles. HLA. 90(2). 79–87. 55 indexed citations

4.

Lang, Kathrin, Bianca Schöne, Gerhard Schöfl, et al.. (2016). ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing. BMC Genomics. 17(1). 374–374. 46 indexed citations

5.

Lange, Vinzenz, Irina Böhme, Jan A. Hofmann, et al.. (2014). Cost-efficient high-throughput HLA typing by MiSeq amplicon sequencing. BMC Genomics. 15(1). 63–63. 199 indexed citations

6.

Schmidt, Alexander H., Ute V. Solloch, Julia Pingel, et al.. (2013). Regional HLA Differences in Poland and Their Effect on Stem Cell Donor Registry Planning. PLoS ONE. 8(9). e73835–e73835. 19 indexed citations

7.

Lang, Kathrin, Irina Böhme, Vinzenz Lange, et al.. (2013). 8-OR. Human Immunology. 74. 8–8. 1 indexed citations

8.

Sauter, Jürgen, Jan A. Hofmann, Vinzenz Lange, et al.. (2013). 160-P. Human Immunology. 74. 157–157. 1 indexed citations

9.

Schmidt, Alexander H., Ute V. Solloch, Julia Pingel, et al.. (2011). High-resolution human leukocyte antigen allele and haplotype frequencies of the Polish population based on 20,653 stem cell donors. Human Immunology. 72(7). 558–565. 44 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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